Data Visualization MCP Server
Provides containerized deployment of the data visualization server, making it easy to run in isolated environments.
Powers data visualization through Vega-Lite syntax, allowing users to create customized charts and graphs from saved data tables.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Data Visualization MCP Servervisualize my sales data as a bar chart showing revenue by month"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Data Visualization MCP Server
Overview
A Model Context Protocol (MCP) server implementation that provides the LLM an interface for visualizing data using Vega-Lite syntax.
Related MCP server: mcp-plots
Components
Tools
The server offers two core tools:
save_dataSave a table of data agregations to the server for later visualization
Input:
name(string): Name of the data table to be saveddata(array): Array of objects representing the data table
Returns: success message
visualize_dataVisualize a table of data using Vega-Lite syntax
Input:
data_name(string): Name of the data table to be visualizedvegalite_specification(string): JSON string representing the Vega-Lite specification
Returns: If the
--output_typeis set totext, returns a success message with an additionalartifactkey containing the complete Vega-Lite specification with data. If the--output_typeis set topng, returns a base64 encoded PNG image of the visualization using the MPCImageContentcontainer.
Usage with Claude Desktop
# Add the server to your claude_desktop_config.json
{
"mcpServers": {
"datavis": {
"command": "uv",
"args": [
"--directory",
"/absolute/path/to/mcp-datavis-server",
"run",
"mcp_server_vegalite",
"--output-type",
"png" # or "text"
]
}
}
}Usage with uv
uv --directory /Users/markomitranic/Sites/mcp/mcp-vegalite-server run mcp_server_vegalite --output-type pngUsage with Docker
docker build -t mcp-server-vegalite .
docker run -i --rm mcp-server-vegalite --output-type pngMaintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Tools
Related MCP Servers
- Flicense-qualityFmaintenanceA Model Context Protocol (MCP) server implementation that provides the LLM an interface for visualizing data using Vega-Lite syntax.100
- AlicenseAqualityDmaintenanceA MCP server for data visualization. It exposes tools to render charts (line, bar, pie, scatter, heatmap, etc.) from data and returns plots as either image/text/mermaid diagram.24MIT
- AlicenseAqualityDmaintenanceAn MCP server that enables AI assistants to create, update, and publish Datawrapper charts through natural language. It provides tools for data synchronization, visual configuration, and retrieving chart images or editor links.8MIT
- AlicenseAqualityDmaintenanceAn MCP server that enables AI assistants to create interactive visualizations, perform statistical analysis, run auto-EDA, and build dashboards using the HoloViz ecosystem with self-contained HTML output.36MIT
Related MCP Connectors
An MCP server that integrates with Discord to provide AI-powered features.
MCP server for Google Veo AI video generation
MCP server for AI dialogue using various LLM models via AceDataCloud
Latest Blog Posts
- Who's Calling? MCP Hosts Are an Identity Blind Spot (And the Spec Knows It)By Om-Shree-0709 on .mcpAgent IdentityOAuth 2.1
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/markomitranic/mcp-vegalite-server'
If you have feedback or need assistance with the MCP directory API, please join our Discord server